CN1585947A - Method and system for personal information retrieval, update and presentation - Google Patents

Method and system for personal information retrieval, update and presentation Download PDF

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Publication number
CN1585947A
CN1585947A CNA028224167A CN02822416A CN1585947A CN 1585947 A CN1585947 A CN 1585947A CN A028224167 A CNA028224167 A CN A028224167A CN 02822416 A CN02822416 A CN 02822416A CN 1585947 A CN1585947 A CN 1585947A
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China
Prior art keywords
information
profile
user
information source
media
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Chinese (zh)
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T·F·M·麦吉
J·Z·兹梅曼
李东舸
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Koninklijke Philips NV
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Koninklijke Philips Electronics NV
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73—Querying
    • G06F16/735—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7834—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using audio features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
    • G06F16/784—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content the detected or recognised objects being people
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7844—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using original textual content or text extracted from visual content or transcript of audio data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

An information retrieval system and method are provided. Content from various sources, such as television, radio and/or Internet, are analyzed for the purpose of determining whether the content matches a predefined user profile, which corresponds to a manually or automatically created personalized information source. The personalized information source is then automatically created to permit access to the information in audio, video and/or textual form. In this manner, the universe of searchable media content can be narrowed to only those programs of interest to the user. Information retrieval can be accomplished through a PDA, radio, computer, MP3 player, television and the like. Thus, the universe of media content sources is narrowed to a personalized set.

Description

The method and system that be used for the personal information retrieval, upgrades and represent
Technical field
The present invention relates to a kind of information retrieval and organization system and method, relate in particular to a kind of being used for (to create the form of personalized information source) retrieval, handle and expression from multiple information source, as radio, TV or internet, the system and method for content.
Background technology
The almost unlimited content stream that a large amount of available television channels, radio signal is arranged now and can visit by the internet.But this a large amount of content makes and is difficult to find out the content type that niche audience will be sought, but also is difficult to personalization addressable information of different time in one day.
Usually, the broadcasting station especially is difficult to search for according to content.TV service provides TV Guide, and the spectators' program streams of information that can change to the guide channel and watch the cascade of playing or will play in different time sections under specific circumstances.Listed program is pressed the order of channel and is rolled, and spectators can not control this rolling, and just can go for after having to sit on a lot of channels usually always and all having shown and oneself want the program seen.In other systems, spectators visit TV Guide on their TV screen.These services do not allow the certain content in the shown TV programme of user search usually, as a fragment of TV play.For example, spectators may be only interested in the physical culture part in the local news broadcasting.
On the internet, the user of searching content can inputted search request in search engine.But search engine can not be utilized and usually the user is directed to undesirable website effectively.In addition, these websites require user's login before obtaining the information of wanting, and lose time.
The U.S. Patent No. 5,861,881 that its content is hereby incorporated by has been described a kind of interactive computer system that can move on computer network.The user is undertaken by using input equipment and personal computer or TV and interactive program alternately.Various video/audio data stream can receive from the broadcast transmission source or reside in this locality or the external memory storage.Thereby ' 881 patents have only been described and selected a kind of optional data stream from one group of predefined possibilities, and do not provide search spectators information of interest to be used to the method for the personalized information source of the information that receives with establishment.
Its content is hereby incorporated by, how title is used to define playlist corresponding to the media fragment of these notes for the WO 00/16221 of " Interactive Play ListGeneration Using Annotations " has described a plurality of notes that the user selectes.Then, the note selected of user and the media fragment of their correspondences can offer the user by seamless way.User interface permission user changes the note order in playlist and the playlist.Therefore, the very short subject line of this user interface utilization is discerned each note.
Therefore, ' 221 document description a kind of complete manual mode that in the stream-type video server, produces video play lists by network computer system.User interface provides a form having on the client computer of double screen.The video that the user will retrieve according to the Information Selection in explaining.But, select still need be undertaken, and depend on the accuracy and the completeness at interface by the user.
The user characteristics data carrier that its content is hereby incorporated by, title utilizes before a kind of the user characteristics data of expression user preferences to write down for EP 1 052 578 A2 of " Contents Extraction Methodand System " have described.It is loaded on the subscriber terminal equipment, thereby the user characteristics data can be recorded on the user characteristics data carrier and be input to subscriber terminal unit.By this way, when the retrieval keyboard identified user's interest content of multimedia feature, content of multimedia can utilize the user characteristics of input to retrieve automatically.According to result for retrieval, the content of expectation just can be selected, extracts and show.
Therefore, ' 578 the interior perhaps search in the systematic search broadcast system of document meets the multimedia database of spectators' interest.It does not have about the divided video that can realize according to the present invention and the description of retrieve fragment.This system also requires to use the key word that is attached to content of multimedia that is stored in the database or sends to broadcast system.Therefore, it does not provide not need to use and sends or the system about the key word of content of multimedia of storage.It does not provide and can utilize available data, and as captions, or the system of coupling is extracted in voice recognition automatically.' 578 reference contents also describe to be extracted relevant portion in the broadcasting, as only being the local traffic part in the morning news, system.
Therefore, not existing fully easily, system and method allows the user only to search for the media content that satisfies its personal interest.
Summary of the invention
Generally speaking, according to the present invention, a kind of information retrieval system and method are provided.In order to determine whether content satisfies predefined user profiles, to from various information sources, as TV, radio and/or internet, content analyze, wherein user profiles is corresponding to manually or the user profile source of creating automatically.Then, personalized information source is created automatically to allow the information of visit audio frequency, video and/or textual form.By this way, but the scope of searching media content just can narrow down to part or the fragment of having only those user's interest programs or program.Information retrieval can wait and realize by PDA, radio, computing machine, MP3 player, TV.Therefore the scope of media content just narrows down to personalized set.For example, the user can not only receive weather or traffic, can also receive maximally related weather or traffic.In addition, this system can also change analysis according to user's interest, and for example, show current traffic morning, then shows second day traffic alerts evening.This system can also detect the user interest and in the usual course of special time automatically, as weather first, comes transmission information.
Therefore, an object of the present invention is to provide a kind of improved based on automatic personalized tissue, retrieve and watch the system and method for media content.
Therefore, the present invention includes some steps, and in these steps a step or multistep about the relation in each step in other step, this system comprises the feature of the component structure, combination and the arrangements of components that are suitable for realizing these steps, all these detailed disclosure illustrated below, scope of the present invention is pointed out in the claims.
Description of drawings
In order more intactly to understand the present invention, connection with figures is with reference to following description, wherein:
Fig. 1 be according to the present invention a kind of preferred embodiment be used to retrieve, handle and the system block diagram of display message;
Fig. 2 describes a kind of retrieval of preferred embodiment and the method flow diagram of process information according to the present invention; And
Fig. 3 is the description how a kind of preferred embodiment information according to the present invention is represented.
Embodiment
The present invention is directed to a kind of according to chosen in advance or automatic user profiles retrieving information from multiple media information source, so that provide according to personalized information source the system and method for visit information immediately be provided, wherein personalized information source can be utilized up-to-date automatically updating data, thereby the user can visit up-to-date data available (program arrangement) immediately.This data can comprise radio, TV and internet from multiple information source, collect.After data aggregation is arrived, it can be used as video, audio frequency and/or literal be used to watch, listen to, read or, for example, a part of being used as program downloads in computing machine or other medium, the user can also organize the data further download message from that.
The user can provide manually or the profile that produces automatically.For example, the user can select in the profile each key element or for example by clicking screen or pressing the button from one group of previously selected profile, as physical culture, news, film, weather etc., in select.This also can finish automatically.Can analyze selected program, and the key element of analyzing can be used to edit profile.Then, computing machine can searching television, radio and/or internet signal find out the clauses and subclauses with this profile coupling.After finishing in this step, just can create the personalized information source that is used to visit audio frequency, video or textual form information.If nearest information newly and complete at least equally (rather than more incomplete subclass), then this information source can utilize nearest information to carry out regular update.Then, information retrieval can be waited and be finished by PDA, radio, computing machine, TV, VCR, TIVO, MP3 player.
Therefore, In one embodiment of the present invention, the user utilizes interactive TV system to import or click various profile interest options on computing machine or screen.Speech interface, gesture and other exchange method can adopt.Then, selected content is searched for, located and downloads,, thereby only need the much smaller option scope of visit before selecting making rating so that watch later on and/or make the user can visit them in order to watch immediately.For example, if spectators only want to see a film, then import the TV station that MOVIE can be used for his rating selection is narrowed down to those movie.Alternatively, the user can visit all films of playing at that day, that week or other predetermined amount of time.
A kind of specific not limited example is to comprise weather, traffic, stock market, physical culture and top news from various information sources for its profile of user definition.The user can also comprise geography and temporal information in profile.Best source of traffic information may be the local broadcast station that renewal can just be provided in per ten minutes.Stock market information may be able to have access to best from various finance and economicss or news website, and Weather information can from the internet site that is specifically designed to weather forecast, the broadcasting of local morning news or local early between radio broadcasting retrieve.These information are edited and made the user can visit them, and the user will not need to switch may a good hundreds of channel, broadcasting station and internet site just can automatically make the information with its chosen in advance profile coupling directly become available.In addition, car is gone to work but has been missed the broadcasting of local traffic returns if the user looks on the bright side of things, so his this traffic returns of can visiting and replay.In addition, he can also obtain the literal summary of this information or the synthetic announcer who reads this literal, perhaps with this download of information to audio system, as the MP3 memory device, listen to after being used for.Then, he just can listen to the traffic returns that missed just now later at seat admission car.
See Fig. 1 now, a kind of not limited preferred embodiment according to the present invention shows and a kind ofly is used for reception information, process information and makes the user can utilize the block scheme of the system 100 of this information.As shown in Figure 1, system 100 constantly receives input from various broadcast sources.Therefore, system 100 receive radio signals 101, TV signal 102 and the website information signal 103 by the internet.Radio signal 101 visits by radio tuner 111.TV signal 102 visits by TV tuner 112, and website signal 103 visits by Web Spider 113.
The information type that receives will receive from all spectra, can comprise news broadcast, sport information, weather forecast, financial information, film, comedy routine, traffic returns etc.Then, multi-source information signal 120 sends to and is used for analytic signal so that extract above-mentioned identifying information and signal 151 is sent to the instant messages processor 150 of user profiles comparator processor 160.User profile processor 160 compares and exports the signal 161 of representing whether particular content source and profile mate with criterion of identification and profile.Profile 160 can be created automatically or select from the good profile of a plurality of preformattings.
If information and profile do not match, then give its low priority, and system 100 continues to extract from next content source the process of additional information according to user interest.Contact certain embodiments of the present invention, sufficiently high broadcaster importance might make it become the high priority clauses and subclauses.Therefore, in certain embodiments of the invention, when not with the coupling of profile, content is not to abandon but according to priority arrange.Content just is " discarded " when content is redundant or needs the space, and the information of lowest priority is dropped.
A kind ofly handle received information and the method for optimizing that itself and profile compare is shown clearly in more as method 200 in the process flow diagram of Fig. 2.In method 200, input signal 120 ' receive from various content source.Step 150 ' in, the instant messages system 150 (Fig. 1) that can comprise impact damper and computing machine by caption information, audio frequency is to information extractions such as softwares for discerning characters and automatically perform keyword search.For example, if instant messages system 150 detects word " weather ", add the place, may related with television broadcasting in addition caption information in one day sometime or the label information of website, its part that will make this broadcasting or website can be used as personalized information source is used for selecting so.
In step 220, the information (from the signal 151 of step 220) that extracts is compared with user profiles.If information and user interest 221 do not match, then this information is left in the basket, to next content source continue the process 150 of information extraction '.When finding a coupling 222 the time, in step 230, this information is checked to determine that this information is whether than existing information updating in the personalized information source and be not its subclass.If the information in the signal of being included in shows that it is older 231, then it is left in the basket and leaching process 150 ' continuation.If check that than fresh information step 230 shows that this information is newer 232, then in step 240 system's 100 usefulness its replace information older in personalized information source or create new information source.
This system can also estimate profile coupling and according to these information of interest sequence delivery of user.This system can also analyze the broadcaster importance of giving a fragment, as the order in the broadcasting and the duration of fragment.This system can also define importance, as " China ".Then, not only according to user's interest (fragment is about Chinese political), also according to the importance (lead news report with high duration) of fragment to the announcer, this systematic order is represented information.By another example, if the user is interested in Yankees, then system can outwards search (simultaneously not only forward but also backward) and showed the record of yesterday before showing record last week, shows the race information about tomorrow before the race news that shows last week.About traffic, will have broadcaster importance (as described below), user's importance (as described below) and date.For traffic, following incident and current incident are more important than bygone part.These all should be considered when order of representation is set.
At last, in step 250, the selection of personalized information source is available; Then, the user can watch selected part, download other parts to watch later on and/or recording section.
Therefore, user profiles 160 is used for selecting appropriate signal 120 to create the personalized information source 130 that comprises all the various information sources corresponding with expectation information automatically from various content source 111,112 and 113.System 100 can also comprise and be used to write down this information so that replay later on and/or show the various demonstrations and the recording unit 140 of this information immediately.System 100 can also comprise download equipment, thereby information can download to, for example, and video-tape, MP3 memory device, PDA or any other storage/playback equipment.
In addition, any or all parts can be placed in the televisor.In addition, can also provide a dual tuner or multi-tuner apparatus, one of them tuner is used for scanning and/or downloads, and another is used for current watching.
In one embodiment of the present invention, all information all download to computing machine, and the user can be switched up to the information that navigates to his desired display in various information sources simply.
In certain embodiments of the invention, storage/playback/download equipment can be the centralized server by control of user individual profile and visit.For example, cable television provider can create be used for according to the user definition profile selectively canned data storage system and allow the user when wanting to see, to watch them to want the information of seeing.
In one embodiment of the present invention, computer system as master server, is monitored all TV news programs.Master server can be positioned at the position away from the user.It is analyzed each program and they is resolved into independently plot or data.For each plot or data slot, it can produce the metadata of describing various classification, comprises following:
1. classification: plot and data are divided into, for example, and weather, financial and economic news, physical culture, traffic, top news and local incident.
2. participant: the name of related people, company, product etc. in the plot.
3. incident: the concise and to the point description of plot incident
4. result: based on the consequence of this incident
5. place: locale or the place that influenced by its result.
6. time sensitivity: the time that incident takes place.
7. broadcaster importance: according to the length of the position in news broadcast or on the website, fragment and indicate the appearance of the imminent preview of this plot, the announcer is felt to evaluate to the importance of this plot.
Can be that the part or be used for that comprises the system of master server receives data transmission from master server client receives the emission and the metadata of news broadcast, and also store them In one embodiment of the present invention.Client can also check that the internet is to seek news plot and news data.The same with server, the client also can produce and describe the plot that it analyzes and the metadata of data.
In one embodiment of the present invention, client is attempted plot and user profiles are mated.Match what degree according to information request and participant, result and place, it can mate to such an extent that have how near producing a score according to the three unities and user profiles.Then, the client produces a score according to time sensitivity and classification.The time that it takes place according to information is to plot and data staging, but can be different according to these classifications of classification of plot.For example, can think equally important from the physical culture record of the previous day with the competitive sports that will take place tomorrow.And can think much more inessential than the traffic advance notice of tomorrow from the transport information of the previous day.Time sensitivity is also based on user's custom.For example, the transport information in round morning on and off duty on working day can be thought more important than At All Other Times.
Then, client can be according to broadcaster importance to all data and plot classification, mate participant, incident, result, place and time sensitivity and user profiles.In one embodiment of the present invention, when user request information, based on the overall importance of above-mentioned this information, information is presented to them in proper order.
Fig. 3 shows according to property as an illustration, one embodiment of this invention of limited example not, and the user can regard the news roundup screen 301 of available information general introduction as.
Weather-this system initially shows the weather summary of Current Temperatures and today.At this moment, system supposes that this is the most important information that the user wants.If the user selects further to explore this content field, then for example by utilizing click or other method to select information entry 302, the forecast of tomorrow and these all the other times in week also can obtain.
The initial exponential sum stock price of listing by the user preferences order that shows of financial and economic news-this system.If detect the marked change of stock or index price, then this order can change.
Physical culture-this system initially shows the survey information of yesterday and tonight.If the user further explores this content field, then the football race record since Sunday can obtain, but because it is older, it is important to seem that therefore it is not so good as baseball race record.
Traffic-this system initially shows the traffic of Tappan Zee.This is the route that this time of this day user's most probable is taked in the week.If another route of user exists significant traffic congestion or announcement, then it can be higher than the grade of this information.
Top news-this system shows the top news of two highest rankings according to profile, time and broadcaster importance.The user can further explore other top news of this content field.
Incident-this system is presented at the incident of nearest future near the user residence.Because the user can not participate in, so bygone spare grade is very low.
Except seeing the summary in all the elements field, the user can also ask to cover the independent summary of the TV program of watching.Data and plot think according to the user what most importantly carries out classification equally.
The signal of content data can be long-range or be analyzed on the one-of-a-kind system of locality, thereby relevant information can extract and compare with profile in the following manner.
In one embodiment of the present invention, each frame of vision signal can be analyzed, thereby allows cutting apart of video data.Can comprise this cutting apart such as the detection of people's face, text detection etc.The audio frequency component of signal can be analyzed, and voice can be realized to the conversion of literal.Copy data as caption data, also can be analyzed key word etc.Screen text also can be caught, and pixel comparison or DCT coefficient ratio can be used to discern key frame, and key frame can be used for defining contents fragment.
A kind of method of extracting relevant information from vision signal is hereby incorporated by in its whole disclosures, be described in by the U.S. Patent No.s that the people showed such as Dimitrova 6,125,229, below it simply described.Generally speaking, processor received content and video signal format changed into the frame (frame extracting) of representing pixel data.Should be pointed out that for each recording unit the process of extracting and analysis frame is preferably carried out at interval by preset time.For example, when processor began the analysis video signal, frame can be by preset time at interval, as the I frame in the mpeg stream or per 30 seconds, grasps and compare each other to identify key frame.
Video Segmentation is well known in the art, and at SPIE Conference on Imageand Video Databases, San Jose, introduced on 2000 by N.Dimitrova, T.McGee, L.Agnihotri, S.Dagtas and R.Jasinschi show, title on the document of " OnSelective Video Content Analysis and Filtering " and the AAAIFall 1995 Symposium on Computational Models for IntegratingLanguage and Vision 1995 by having carried out general description in " Text; Speech; and Vision For Video Segmentation:The InfomediaProject " that A.Hauptmann and M.Smith showed, its whole disclosures are hereby incorporated by.Recorded video section comprises about will representing these data about particular individual by the people's that recording unit captured visual (for example, people's face) and/or any fragment of Word message, thereby can carry out index according to these fragments.As known in the art, Video Segmentation includes but not limited to:
Remarkable scene change-detection: wherein continuous video frames is compared to identify unexpected scene variation (hard montage) or soft transition (fade out, fade in and fade out).To the explanation of remarkable scene change-detection at Proc.ACM Conf.on Knowledge andInformation Management, pp.113-120, on 1997 by N.Dimitrova, T.McGee, H.Elenbaas shown, title is for providing in the document of " Video Keyframe Extraction andFiltering:A Keyframe is Not a Keyframe to Everyone ", its whole disclosures are hereby incorporated by.
People's face detects: wherein each comprises the colour of skin and all identified corresponding to the frame of video zone of similar elliptical shape.In preferred embodiments,, just should image compare, to determine that people's face image shown in the frame of video is whether corresponding to user's the hobby of watching with the known person face image database that is stored in the storer in case identify people's face image.The explanation that people's face is detected is at Pattern Recognition Letters, Vol.20, No.11, go up in November, 1999 by Gang Wei and Ishwar K.Sethi shown, title is to provide in the document of " Face Detection for ImageAnnotation ", its whole disclosures are hereby incorporated by.
Can analyze frame, thereby screen text can extract, and is hereby incorporated by as holding within it, title is for described in the EP 1066577 of " System and Method for Analyzing Video Contentin Detected Text in Video Frames ".
Motion estimation/segmentation/detection: wherein the motion object in the video sequence is determined, and the track of motion object is analyzed.In order to determine motion of objects in the video sequence, preferably adopt known operation, as light stream estimation, motion compensation and motion segmentation.To the explanation of motion estimation/segmentation/detection at International Journal of Computer Vision, Vol.10, No.2, pp.157-182, go up in April, 1993 by Patrick Bouthemy and Francois Edouard shown, title is to provide in the document of " Motion Segmentation andQualitative Dynamic Scene Analysis from an Image Sequence ", its whole disclosures are hereby incorporated by.
For asking the appearance of relevant words/sounds with the user, the audio frequency component of vision signal also can be analyzed and be monitored.Audio segmentation comprises the analysis of video programs of following type: voice are to text conversion, audio frequency effect and event detection, speaker identification, program identification, music assorting with based on the dialog detection of speaker identification.
Audio segmentation comprises sound signal is divided into voice and non-speech portion.The first step of audio segmentation comprises utilizes rudimentary audio frequency characteristics, as the fragment classification of bandwidth, energy and tone.Channel separation is used for the audio frequency component (as music and voice) that occurs simultaneously separated from one another, thereby each can be analyzed separately.Then, the audio-frequency unit of video (or audio frequency) input, is handled to text conversion, audio frequency effect and event detection and speaker identification as voice in a different manner.Audio segmentation is well known in the art, and at IEEE Multimedia, pp.27-36, on the Fall 1996 by E.Wold and T.Blum shown, title has been for having carried out general description in the document of " Content-Based Classification; Search; and Retrieval ofAudio ", its whole disclosures are hereby incorporated by.
In case the sound bite of vision signal sound intermediate frequency part is discerned from ground unrest or music or is isolated, (this is well known in the art to text conversion just can to use voice, for example, see DARPA Broadcast News Transcription and UnderstandingWorkshop, VA, went up-11 days on the 8th February in 1998 by P.Beyerlein, X.Aubert, R.Haeb-Umbach, D.Klakow, M.Ulrich, A.Wendemuth and P.Wilcox show, title is the document of " Automatic Transcription of English BroadcastNews ", and its whole disclosures are hereby incorporated by).Voice can be used for as the key word position application about fact retrieval to text conversion.
Audio frequency effect can be used for the detection incident, and (this is well known in the art, for example, see Intelligent Multimedia Information Retrieval, AAAI Press, Menlo Park, California, pp.113-135, on 1997 by T.Blum, D.Keislar J.Wheaton and E.Wold shown, title is the document of " Audio Databases withContent-Based Retrieval ", its whole disclosures are hereby incorporated by).Plot can detect by the identification sound related with specific personage or story types.For example, lion shouts and can be detected, and this fragment can be characterized as zoologic plot.
(this is well known in the art speaker identification, for example, sees IS﹠amp; T SPIEProceedings:Storage and Retrieval for Image and VideoDatabases V, pp.218-225, San Jose, CA, go up in February, 1997 by NileshV.Patel and Ishwar K.Sethi shown, title is the document of " Video ClassificationUsing Speaker Identification ", its whole disclosures are hereby incorporated by) relate to the sound flag that analyzes in the present sound signal, to determine the characteristic of personage's speech.For example, speaker identification can be used for searching for specific famous person or statesman.
Music assorting relates to the non-speech portion of analyzing audio signal, with the music type of determining to exist (allusion, rock and roll, jazz etc.).This be by, for example, frequency, tone, tone color, sound and the tune of analyzing audio signal non-speech portion and the feature that analysis result and specific music type is known compare and realize.Music assorting is well known in the art, and at 1999IEEE Workshop on Applications of Signal Processing to Audioand Acoustics, New Paltz, NY, in October, 1999 17-20 on day by EricD.Scheirer shown, title has been for having carried out general description in the document of " Towards Music Understanding WithoutSeparation:Segmenting Music With Correlogram Comodulation ".
Then, according to the senior known prompt table that is used for various story types the various compositions of video, audio frequency and copy literal are analyzed.Every kind of plot classification preferably all has as the knowledge tree of key word with the classification correlation table.These promptings can be provided with in user profiles or be preestablished by manufacturer by the user.For example, " New York Jets " tree can comprise as key words such as physical culture, football, NFL.In another example, " president " plot can with as the presidential seal of George W.Bush, the visual segments of the face data that prestores, as the audio fragment of hailing, reach related with the text fragments of " Bush " as word " president ".After carrying out statistical treatment, processor utilizes classification ballot histogram to carry out classification, and wherein statistical treatment will be described in greater detail below.By example, if word in the text and a keyword matching based on knowledge, then corresponding class obtains a ballot paper.For each classification, probability is to come given by the ratio between each key word number of ballot papers and the text fragments number of ballot papers.
In a kind of preferred embodiment, each composition of the audio frequency after cutting apart, video and text fragments is carried out integrated so that from signal, extract the profile comparison information.The integrated of audio frequency after cutting apart, video and text signal is preferred for complex extraction.For example, if user expectation is selected the program about the ex-president, then not only require recognition of face (identification performer), also require speaker identification (guarantee on the screen performer in speech), voice to text conversion (guaranteeing that the performer is saying proper word) and estimation-cut apart-detect (special exercise of discerning the performer).Therefore, integrated search method is preferred and produces result preferably.
In one embodiment of the present invention, system 100 of the present invention can realize in comprising the product of numeroscope.This numeroscope can comprise that content analyser is handled and enough memory capacity is stored necessary content.Certainly, those skilled in the art will be appreciated that memory device can be positioned at the outside of numeroscope and content analyser.In addition, do not need digital recording system and content analyser are placed in the single bag, they can be packed separately.In this example, the user utilizes independent input equipment will ask clauses and subclauses to be input to content analyser.Content analyser can be directly connected to one or more information sources.Under the situation of TV, when vision signal was buffered in the internal memory of content analyser, content analysis can be carried out to extract relevant plot this vision signal as mentioned above.
Although invention has been described to have got in touch preferred embodiment, but be to be understood that, in above-mentioned concept, its various modifications of carrying out be it will be apparent to those skilled in the art that, therefore the invention is not restricted to this preferred embodiment, but will comprise these modifications.

Claims (20)

1, a kind of combination and processing comprise from the method for the media content of multiple information source:
Foundation is corresponding to the profile (160) of subject of interest;
The media information source that autoscan can be used (101,102,103) is selected an information source and is extracted the identifying information (150 ') of this information source content characteristic of expression from this media information source;
Relatively (220) this identifying information and profile (160) if find to mate (222), represent that then this media information source can visit;
Next media content sources is sought in the media information source that autoscan can be used, extract identifying information (150 ') from described next information source, and the identifying information and the profile (160) of comparison (220) described next information source, if find coupling (222), represent that then described next media information source can visit.
2, the method for claim 1, wherein said profile (160) comprises geography and time restriction.
3, the method for claim 1, wherein said scanning and comparison (220) step repeats always, all is scanned up to all available media information sources (101,102,103).
4, the method for claim 1, wherein said available media information source comprise television broadcasting (102) or television broadcasting (102) and radio broadcasting (101), or television broadcasting (102) and site information (103).
5, the method for claim 1, wherein said identifying information extracts (150 ') by extracting caption information from vision signal.
6, the method for claim 1, wherein identifying information is from screen text extracts (150 ').
7, the method for claim 1, wherein identifying information utilizes sound to handle to text conversion and extracts (150 ').
8, the method for claim 1, wherein said media content sources (101,102,103) can be used in primary importance, and in this available media content sources (250) of user capture away from the second place of primary importance.
9, the method for claim 1, wherein said topics of interest (160) is selected from physical culture, weather and traffic.
10, the method for claim 1 wherein compares to determine which information source more timely or more complete (230) the media information source that can visit.
11, the method for claim 1, the wherein said media information source that can visit are according to carrying out priority classification (240) from broadcasting with from the information that profile obtains.
12, be used to create the system of one group of useable medium, comprise:
Be used for the receiver apparatus that scanning and reception comprise the signal of media content (111,112,113);
Can receive and store the memory device of user definition profile information (160);
Be linked to described receiver, be used for extracting the processor of identifying information (150) from a plurality of sweep signals that comprise media content;
Identifying information that is used for relatively extracting and profile, and when detecting the compare facilities (150,160) that coupling the time makes the signal that comprises media content use.
13, system as claimed in claim 12, wherein said receiver (111,112,113), processor and compare facilities (150,160) make up and are arranged to scan all the media information sources that can scan (101,102,103) to be compiled into a useable medium information source subclass of mating, being used to look back with profile (160) by receiver.
14, system as claimed in claim 12, comprise be built into receive the user definition profile information and with this information and described identifying information comparison to identify the computing machine of coupling (150,160).
15, system as claimed in claim 12, wherein said receiver comprises first tuner that is built into processing TV signal (112), this system also comprises second tuner that is built into help demonstration useable medium or other medium (140).
16, system as claimed in claim 12, wherein said receiver (111,112,113), memory device (160), processor and compare facilities (150) are placed in the televisor.
17, system as claimed in claim 12, wherein said memory device (160) makes up and is arranged to receive profile information from keyboard.
18, system as claimed in claim 12, wherein said memory device (160) makes up and is arranged to receive profile information according to the signal that is produced from keyboard when the user carries out selected click.
19, system as claimed in claim 12, wherein said memory device (160) comprises a plurality of selectable predefine profiles.
20, system as claimed in claim 12, the wherein use habit of this System Monitoring User and revise profile (160) according to these customs.
CNA028224167A 2001-11-13 2002-10-22 Method and system for personal information retrieval, update and presentation Pending CN1585947A (en)

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